The Future of AI in Software Development

Generations of software engineers and QA personnel have been slowed down and nearly brought to a standstill by the vexing and intractable problem that so much manual effort is still relied upon in the software development and testing processes: transforming stories to test cases; transforming test cases to test scripts; generating and stewarding test data to support rapid and large scale testing; responding to application and business process changes – all these things have largely or exclusively been manual efforts, to-date. The real change and the real acceleration in development velocity and quality will only come when these manual efforts are supplanted by machine speed solutions that not only drive sustainable quantum leaps in productivity and efficiency, but enable QA professionals to redeploy and re-invest their skills where they can truly add value: in weaving customer knowledge and advocacy, business process expertise and innovation and software quality best practices.